Using R — Basic error Handing with tryCatch()

The R language definition section on Exception Handling describes a very few basics about exceptions in R but is of little use to anyone trying to write robust code that can recover gracefully in the face of errors. In fact, if you do a little searching you will find that quite a few people have read through the ?tryCatch documentation but come away just as confused as when they started. In this post we’ll try to clarify a few things and describe how R’s error handling functions can be used to write code that functions similarly to Java’s try-catch-finally construct.

List of error handling functions

Without any simple documentation on the subject, the first thing we need is a list of the functions involved in error handling. With this list in hand we can then start up R and type ?function_of_interest to read associated documentation or function_of_interest [without the ‘()’] to see how the function is implemented. Here is a minimal list of functions that anyone writing error handling code should read up on:

Other functions exist that relate to error handling but the above are enough to get started. (The documentation for these functions will lead to all the other error-related functions for any RTFM enthusiasts.)

R does try-catch-finally differently

In case you hadn’t noticed, R does a lot of things differently from most other programming languages. Java and Python and C and all other languages covered in Wikipedia’s excellent page on Exception handling syntax use language statements to enable try-catch-finally. R, needing to be different, uses a function.

But the tryCatch() function actually looks a lot like other languages’ try-catch syntax if you format it properly:

In tryCatch() there are two ‘conditions’ that can be handled: ‘warnings’ and ‘errors’. The important thing to understand when writing each block of code is the state of execution and the scope. Excerpting relevant text from the ?tryCatch documentation:

If a condition is signaled while evaluating ‘expr’ then [...] control
is transferred to the ‘tryCatch’ call that established the handler
[...] and the result returned by the handler is returned as the value
of the ‘tryCatch’ call. [...] The ‘finally’ expression is then
evaluated in the context in which ‘tryCatch’ was called.

What this means is that ‘expr’ is evaluated a line at a time until a ‘condition’ is encountered and then execution is transferred to the handler with the state in tact. Code can often explain more than words and the example at the end of this post is a standalone R script that explores various features that might be required in a robust error handling system:

generating warnings and errors from within a function

setting warning and error handlers with tryCatch()

providing alternative return values when a function generates a warning or error

modifying the text of warning and error messages

suppressing warning messages

Just copy and paste the script at the end, make it executable and try it out with the following commands: